Data Analyst (Product & Customer Analytics)

Oowlish Technology

Brazil Remote Data 7 days ago via Jobicy

data-science-analytics data-analysis sql dashboard statistical-analysis data-visualization business-intelligence analytics

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Job details

Company: Oowlish Technology
Location: Brazil
Remote: Yes
Field: Data
Source: via Jobicy

Posted July 20, 2026

About this role

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role:

We are looking for a curious and analytical Data Analyst to help transform complex data into actionable insights that drive product, customer, and business decisions.

In this role, you will work closely with cross-functional teams to analyze customer behavior, product performance, and business trends while developing dashboards, reports, and data-driven recommendations. You will leverage modern analytics tools and statistical techniques to uncover opportunities, improve decision-making, and support strategic initiatives.

The ideal candidate combines strong SQL and statistical analysis skills with the ability to communicate complex findings clearly to both technical and non-technical stakeholders.

Key Responsibilities:

Analyze customer behavior, product performance, and business trends using large datasets.

Build dashboards, reports, and visualizations that support business decision-making.

Develop data models and queries to extract meaningful insights from multiple data sources.

Identify patterns, trends, and opportunities using statistical analysis and exploratory data techniques.

Collaborate with Product, Marketing, Engineering, and Business teams to support strategic initiatives.

Translate complex analyses into clear, actionable recommendations for stakeholders.

Support forecasting, segmentation, and customer behavior analysis.

Contribute to long-term analytics projects from planning through execution.

Continuously improve reporting processes, data quality, and analytics methodologies.

Requirements:

3+ years of professional experience in Data Analytics, Business Analytics, or similar roles.

Strong SQL skills and experience working with large datasets.

Experience with Python, R, or another statistical programming language.

Experience building dashboards and data visualizations.

Strong analytical and problem-solving skills.

Excellent communication and presentation skills.

Experience collaborating with cross-functional teams.

Strong written and verbal English communication skills.

Must have:

Strong SQL experience.

Experience querying large datasets from multiple sources.

Professional experience with Python or R.

Experience building dashboards and reports.

Experience performing statistical analysis.

Strong understanding of customer or product analytics.

Experience presenting insights to stakeholders.

Strong data visualization skills.

Experience cleaning, transforming, and validating data.

Strong analytical thinking and business acumen.

Nice to have:

Experience with Google Analytics (GA4).

Experience with BigQuery.

Experience with Tableau, Looker, or Power BI.

Experience with predictive analytics or customer segmentation.

Experience with A/B testing.

Experience working alongside Data Science teams.

Retail or eCommerce analytics experience.

Experience with Hadoop or Hive.

Master's degree in a quantitative field.

Benefits & Perks:

Home office;

Competitive compensation based on experience;

Career plans to allow for extensive growth in the company;

International Projects;

Oowlish English Program (Technical and Conversational);

Oowlish Fitness with Total Pass;

Games and Competitions;

You can also apply here:

Website: https://www.oowlish.com/work-with-us/

LinkedIn: https://www.linkedin.com/company/oowlish/jobs/

Instagram: https://www.instagram.com/oowlishtechnology/

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